Directed evolution of biocircuits using conjugative plasmids and CRISPR-Cas9: design and in silico experiments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F17%3AA0000085" target="_blank" >RIV/47813059:19240/17:A0000085 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs11047-016-9595-9" target="_blank" >https://link.springer.com/article/10.1007%2Fs11047-016-9595-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11047-016-9595-9" target="_blank" >10.1007/s11047-016-9595-9</a>
Alternative languages
Result language
angličtina
Original language name
Directed evolution of biocircuits using conjugative plasmids and CRISPR-Cas9: design and in silico experiments
Original language description
Recent links between computer science and synthetic biology allow for construction of many kinds of algorithmic processes within cells, obtained either by a direct engineered design or by an evolutionary search. In the latter case, horizontal gene transfer and especially transfer of plasmids by conjugation is generally respected as a crucial source of genetic diversity in bacteria. While some previous studies focused on mutations as the crucial principle to obtain diversity for engineered evolution, here we consider conjugation itself as a tool to generate diversity from a pre-determined library of biocircuits basic components. The recent development of CRISPR-Cas9 and its programmable DNA cutting ability makes it a powerful selection tool able to remove nonfunctional biocircuits from a cell population. In this paper, we describe a framework for controlled bacterial evolution of biocircuits based on conjugation and on CRISPR-Cas9, resulting in a direct biological implementation of an evolutionary algorithm. In silico experiments provide data to estimate the computational/search capability of plasmid-based engineered evolution.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Natural Computing
ISSN
1567-7818
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
3
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
497-505
UT code for WoS article
000407824400010
EID of the result in the Scopus database
2-s2.0-85006414967